Model Detail
xAI: Grok 3
—xAI: Grok 3 is a large language model released by xAI. And supports text->text inputs.
xAI: Grok 3 is priced at $3/M input tokens and $15/M output tokens. Pricing in this range is the working middle of the API market — neither the cheapest nor the most expensive option per token, so cost-fit is usually a function of how much output you generate.
The published knowledge cutoff is 2025-02-28, so newer events will not be reflected in zero-shot answers without retrieval.
xAI: Grok 3 is best fit for general-purpose chat and instruction-following workloads. Treat this as a starting matrix rather than a benchmark verdict — the right deployment usually depends on the specific evaluation suite that mirrors your workload.
SpaceXSI bundles X Premium, Grok, and Cursor into one subscription
The new X Subscription combines X's paid features with AI tools like Grok and Cursor, offering plans ranging from $8 to $200 per month.
Musk’s AI chatbot Grok reportedly encouraged Trump to capture Venezuela’s president
President Trump reportedly asked for Grok's opinion before invading Venezuela and capturing Nicolás Maduro.
Structured Features Overfit Where Random Features Grok
arXiv:2609.15047v1 Announce Type: new Abstract: Xu, Vardi and Safran (ICML 2026) prove that over-parameterized ridge regression over an unstructured random Gaussian feature map groks, with the delay between memorization and generalization growing as $1/\lambda$ in the weight decay. We show that on a
ChatGPT, Grok, and Claude all went down at the same time
OpenAI's ChatGPT, xAI's Grok, and Anthropic's Claude are back online after they all began experiencing issues around the same time on Thursday. At about 11AM ET, ChatGPT started returning error messages for users trying to use the chatbot, with its status page saying there were "elevated errors acro
The Pentagon now has its own version of ChatGPT and Grok
Versions of OpenAI's ChatGPT and SpaceXAI's Grok will join Google's Gemini on the Pentagon's central portal for AI tools.
To Grok Grokking: Provable Grokking in Ridge Regression
arXiv:2601.19791v4 Announce Type: replace Abstract: We study grokking, the onset of generalization long after overfitting, in a classical ridge regression setting. We prove end-to-end grokking results for learning over-parameterized linear regression models using gradient descent with weight decay.
